Trinity Large Thinking vs Gemini 2.5 Pro
arcee-ai/trinity-large-thinking · google/gemini-2.5-pro
As of November 2, 2026, Trinity Large Thinking is the cheaper API on UberLLM: $0.2094 per million input tokens and $0.7538 per million output, versus $0.3000 / $2.40 for Gemini 2.5 Pro, about 67% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Trinity Large Thinking to cut cost; choose Gemini 2.5 Pro when context size wins. Gemini 2.5 Pro carries the larger context window (1,048,576 vs 256,000 tokens), which can matter for long-document work.
Trinity Large Thinking vs Gemini 2.5 Pro, side by side
| Spec | Trinity Large Thinking | Gemini 2.5 Pro |
|---|---|---|
| Price · input / 1M | $0.2094 | $0.3000 |
| Price · output / 1M | $0.7538 | $2.40 |
| Context length | 256,000 | 1,048,576 |
| Max output tokens | 32,768 | 65,536 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | Yes | Yes |
| % off list | 29.9% off | 76% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Trinity Large Thinking vs Gemini 2.5 Pro — FAQ
Is Trinity Large Thinking or Gemini 2.5 Pro cheaper?
Trinity Large Thinking is cheaper on a blended token mix, by about 67%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between Trinity Large Thinking and Gemini 2.5 Pro?
Trinity Large Thinking: $0.2094 in / $0.7538 out per 1M tokens. Gemini 2.5 Pro: $0.3000 in / $2.40 out per 1M tokens. That's roughly a 67% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Trinity Large Thinking and Gemini 2.5 Pro with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.